Product Manager - Deep Learning

Company: Nvidia
Location: Santa Clara, California, United States
Type: Full-time
Posted: 11.AUG.2021
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Summary

The NVIDIA GPU Cloud (NGC) is a comprehensive catalog of GPU-accelerated software and services that empower organizations to develop and dep...

Description

The NVIDIA GPU Cloud (NGC) is a comprehensive catalog of GPU-accelerated software and services that empower organizations to develop and deploy AI projects. We are looking for a high-energy product manager who is passionate about the intersection of AI software and the cloud. In this role, you will create and enable seamless experiences for developers building deep learning and machine learning services in the cloud. You will collaborate with multiple NVIDIA product and engineering teams to define and evolve offerings that make it easy for developers to build AI services using NVIDIA software made available through NGC.As the outbound NGC product lead, you will be the bridge between global cloud service providers and NVIDIA product teams, creating awesome user experiences for AI development. You will also partner with Engineering, Sales, Marketing, PR and Legal teams to drive the adoption and growth of NVIDIA's software portfolio across Conversational AI, Robotics, Medical Imaging, Smart Cities, Robotics and more. The Product Management organization is a small, strong and influential group sought after both inside and outside of NVIDIA. Our team is very passionate about enabling developers with powerful tools that accelerate the adoption of AI while delivering a best-in-class user experience. With the exponential increase in AI services built and deployed in the cloud, we need a self-starter to further fuel the growth and enable developers across cloud platforms shape the future of AI. We're looking for the rare blend of both technical and product skills who are just as passionate about the intersection of cloud and AI. If this is you, we would love to learn more about you!What you'll be doing:Define and Prove- You will conduct market analysis and define business models that provide grounds to build and deliver new services in a growing industryMarket intelligence - Understand your end users and champion their needs through roadmaps and priority settingBuild and Deliver - Be the voice of the customer to cross functional product engineering and user experience (UX) teams.Content creation - work with marketing to create technical content, including blog posts, webinars, developer tutorials, and more to communicate the product value proposition and drive adoption.Sense and Respond - Create surveys, engage with customers, build webinars, understand product quality and monitor critical bugsProduct launches - Define the go-to-market strategy and lead the cross-functional implementation of the plan across Marketing, PR, Sales, etc.What we need to see:5+ years of work experience in technical product management, or similar at a technology companyBachelor's degree in Engineering, Computer Science, or similar field (or equivalent experience)Proven ability to collaborate and drive consensus across different business unitsExtraordinary communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiencesPassion for delivering software and familiarity with the different consumption models, including command line interfaces (CLI), user interfaces (UI) and APIs.Ways to stand out from the crowd:M.B.A. or Masters in Information Systems ManagementHands-on experience with machine or deep learning development in the cloud.Experience with cloud service provider products across IaaS and PaaS.We are widely considered to be one of the technology world's most desirable employers. We have some of the most talented people in the world working with us. If you are agile and autonomous, we want to hear from you.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

 
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